{"id":"https://openalex.org/W4404848053","doi":"https://doi.org/10.1109/isocc62682.2024.10762693","title":"A Hybrid Precision Network with Efficient Processing Elements for 3D Hand Pose Estimation","display_name":"A Hybrid Precision Network with Efficient Processing Elements for 3D Hand Pose Estimation","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4404848053","doi":"https://doi.org/10.1109/isocc62682.2024.10762693"},"language":"en","primary_location":{"id":"doi:10.1109/isocc62682.2024.10762693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc62682.2024.10762693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009331815","display_name":"Jaehyeon So","orcid":"https://orcid.org/0009-0004-7133-3205"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyeon So","raw_affiliation_strings":["Sungkyunkwan University,Department of Electrical and Computer Engineering,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Electrical and Computer Engineering,South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063908850","display_name":"Jong Hwan Ko","orcid":"https://orcid.org/0000-0003-4434-4318"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Hwan Ko","raw_affiliation_strings":["Sungkyunkwan University,College of Information and Communication Engineering,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,College of Information and Communication Engineering,South Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20258341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"372","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364094853401184},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5570613741874695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4914487600326538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4039596915245056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364094853401184},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5570613741874695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4914487600326538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4039596915245056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc62682.2024.10762693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc62682.2024.10762693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4230133199","https://openalex.org/W4319431294","https://openalex.org/W6784101040"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,74],"paper":[1],"presents":[2],"a":[3],"hybrid":[4,60,75],"precision":[5],"network":[6],"that":[7],"combines":[8],"binary":[9,44],"and":[10,34,46,53,88],"multi-bit":[11,47],"layers":[12],"for":[13,51,91],"efficient":[14],"3D":[15],"hand":[16],"pose":[17],"estimation":[18],"on":[19,57,86],"resource-constrained":[20],"devices.":[21],"By":[22],"transforming":[23],"the":[24,59,78],"state-of-the-art":[25],"HandFoldingNet":[26],"(HFN)":[27],"architecture,":[28],"we":[29],"significantly":[30],"reduce":[31],"memory":[32],"usage":[33],"computational":[35],"complexity":[36],"while":[37],"maintaining":[38],"accuracy.":[39],"Our":[40],"design":[41],"integrates":[42],"specialized":[43],"XNOR":[45],"processing":[48,61],"elements":[49],"optimized":[50],"low-power":[52],"high":[54],"efficiency.":[55],"Implemented":[56],"FPGA,":[58],"element":[62],"units":[63],"demonstrate":[64],"up":[65],"to":[66,71],"46%":[67],"higher":[68],"efficiency":[69],"compared":[70],"traditional":[72],"methods.":[73],"approach":[76],"enables":[77],"deployment":[79],"of":[80],"advanced":[81],"neural":[82],"networks":[83],"like":[84],"HFN":[85],"mobile":[87],"edge":[89],"devices":[90],"real-time":[92],"applications.":[93]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
